# Enterprise intelligence that doesn’t hallucinate.

Ask any question across every data source in your organization. Get verified, source-cited answers in seconds. Build live dashboards on the fly. Automate complex tasks with AI agents grounded in governed, provable data — not statistical guesses.

## The Problem

### Business leaders wait days, weeks, even months to get actionable insights — to understand where they can make an impact.

Where is our supply chain at risk for holiday sales?

VP, Procurement

Where is our supply chain at risk for holiday sales? — asked by a VP, Procurement.

I’d like a customer 360 of Hooli Corp.

Account Manager

I’d like a customer 360 of Hooli Corp. — asked by a Account Manager.

What is the average tenure of my top reps?

SVP, Sales

What is the average tenure of my top reps? — asked by a SVP, Sales.

What are the top feature requests from our largest customers?

VP, Product

What are the top feature requests from our largest customers? — asked by a VP, Product.

## The shift

### The data already exists.

It’s just trapped across disconnected systems.

Fluree AI is what reads across all of them — and answers.

Connect any source.

CSV, API, Postgres, Snowflake, Salesforce — Fluree ingests it as-is. No schema migration. No pipelines to maintain.

Search 300+ sources…AVAILABLE SOURCESSalesforceApp · OAuthSnowflakeData lakePostgresDatabase · replicacustomers.csvCSV · 1.24M rows1.24M rows stagedstreaming to Fluree · CONNECTED

The graph builds itself.

Entities resolve, duplicates merge, and relationships infer in place — no modeling marathon, no manual ontology.

CustomerOrderProductContractOwner

Answers, with receipts.

Ask in plain language. Every answer traces back to the exact row it came from — for humans, agents, and apps alike.

NLMCPRESTSPARQLTop accounts at risk this quarter?SPARQL · GENERATEDSELECT ?acct ?arr WHERE { ?acct a fin:Account ; fin:risk "high" ; fin:arr ?arr .} ORDER BY DESC(?arr)ANSWER3 accounts at elevated riskAcme RoboticsNorthwind CoGlobex CorpTOTAL EXPOSURE$1.84M ARR exposedtraced · 4 sources

The Proof

## Accuracy. Speed. Analyst recognition.

### Accuracy benchmark

95%+

GraphRAG retrieval accuracy on enterprise questions — where vector-only RAG hits a hard ceiling around 70%.

Because Fluree retrieves by traversing explicit relationships, not matching disconnected text fragments.

[Read the benchmark report](/content/resources/graphrag-genai-accuracy-report/index.html)

### Speed benchmark

#1

Fastest read-write graph database on SPARQLoscope DBLP — and the only engine to complete every query.

0.28s geometric mean across 105 DBLP queries. 1.7× faster than Virtuoso, 138× faster than Oxigraph.

[See the full results](https://labs.flur.ee/blog/sparqloscope-dblp-benchmark-results)

### Analyst recognition

Gartner Cool Vendor in Data Management for GenAI.  
Recognized for pioneering governed, GraphRAG-grounded AI for the enterprise.  
[Read the announcement](/content/blog/fluree-named-a-2024-gartner-cool-vendor-in-data-management/index.html)

## What Makes Fluree AI Different

### Three things wrappers over generic data stores can’t do.

#### Retrieves by relationships — not by fragments.

Most AI platforms chunk documents and retrieve by statistical similarity. Fluree traverses your knowledge graph with structured context, source lineage, and relationship-aware evidence.

**Why it matters**  
Because “statistical similarity” isn’t the same as truth.

### Each user or agent operates in a governed slice of the graph.

Fluree embeds governance directly in the data. The LLM never encounters data it shouldn’t see — because unauthorized data never enters its context.

**Why it matters**  
Because the safest data for AI is data the model never receives.

### Every answer is inspectable, auditable, defensible.

Sources queried, records retrieved, relationships traversed, data freshness — every response carries the receipts. In healthcare, finance, and defense, “the AI said so” is not enough.

[Read the provable answers docs](https://labs.flur.ee/docs/db/security/commit-signing)

|  | Fluree AI | Glean | Palantir | ThoughtSpot | ChatGPT+Data |
| --- | --- | --- | --- | --- | --- |
| AI data integration | Yes | Partial | Partial | No | No |
| Semantic layer + knowledge graph | Yes | Partial | Yes | No | No |
| Data-centric security | Yes | No | Yes | No | No |
| Time travel + audit | Yes | No | No | No | No |
| Provable AI (GraphRAG) | Yes | Partial | Partial | Partial | No |
| Query dashboards | Yes | Partial | Partial | Yes | No |
| Conversational analytics | Yes | Partial | Partial | Yes | Yes |
| Free self-service tier | Yes | No | No | No | Yes |

## Go Deeper

### Learn, evaluate, decide.

From first-principles explainers to industry analyst reports — everything an enterprise leader needs to build the case for GraphRAG-powered AI.

**For Business Leaders**  
**For Developers**

Webinar replay  
Live walkthrough **The Future of RAG — Graph-Native AI with Fluree and MCP**  
The protocol + governance + graph story end-to-end — what enterprise-ready GenAI actually looks like.

[Read the article](/content/blog/why-your-enterprise-ai-hallucinates-and-the-science-behind-fixing-it/index.html)  
Research report **GraphRAG for GenAI Accuracy**  
Benchmarks showing enterprise retrieval accuracy from ~70% on vector RAG to 95%+ on governed GraphRAG.  
[Download](/content/resources/graphrag-genai-accuracy-report/index.html)  
Thesis **Building Corporate Memory for Enterprise LLMs**  
Why your data architecture determines whether AI can become a product your clients will pay for.  
[Read the article](/content/blog/building-corporate-memory-for-enterprise-llms/index.html)  
Industry **Knowledge Graphs in Pharma**  
How life-sciences teams use knowledge graphs to connect trial, compound, and regulatory context.  
[Download](/content/resources/pharma-knowledge-graphs-drug-cost-efficiency/index.html)